Sr Scientist - Business Owner, Data Automation

Career Category

Research

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

If you feel like you're part of something bigger, it's because you are. At Amgen, our shared mission--to serve patients--drives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together--researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of.

What you will do

Let's do this. Let's change the world. In this vital role, you will serve as the Business Owner for Data Automation within Large Molecule Discovery (LMD), helping define, prioritize, and guide laboratory data automation initiatives across the LMD informatics ecosystem. You will focus on improving data capture, instrument integration, workflow efficiency, and the availability of structured, reusable scientific data across research operations.

As a scientifically grounded partner to laboratory and technology teams, you will work closely with scientists, laboratory operations teams, software engineers, informatics specialists, automation experts, and external partners to translate scientific workflow needs into clear business requirements. You will help ensure laboratory-generated data can move efficiently from instruments and research platforms into enterprise systems while maintaining data quality, traceability, and usability.

This position sits at the intersection of laboratory science, research informatics, and digital transformation. You will bring a strong understanding of scientific workflows and a practical ability to collaborate with technical implementation teams to deliver automation and integration capabilities that improve how data is captured, managed, and used across LMD.

In this role, your core responsibilities include:

• Serve as the primary scientific business owner for laboratory data automation initiatives within Large Molecule Discovery

• Gather, document, and prioritize business requirements related to laboratory workflows, instrument integration, scientific data capture, and automation opportunities